Articles | Volume 15, issue 8
https://doi.org/10.5194/tc-15-3615-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/tc-15-3615-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Aug 2021
Research article |
| 06 Aug 2021
| 06 Aug 2021
Significant additional Antarctic warming in atmospheric bias-corrected ARPEGE projections with respect to control run
Julien Beaumet
CORRESPONDING AUTHOR
Université Grenoble Alpes, CNRS, Institut des Géosciences de l'Environnement, 38000 Grenoble, France
Michel Déqué
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Gerhard Krinner
Université Grenoble Alpes, CNRS, Institut des Géosciences de l'Environnement, 38000 Grenoble, France
Cécile Agosta
Laboratoire des Sciences du Climat et de l'Environnement, LSCE-IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, 91190 Gif-sur-Yvette, France
Antoinette Alias
CNRM, Université de Toulouse, Météo-France, CNRS, Toulouse, France
Vincent Favier
Université Grenoble Alpes, CNRS, Institut des Géosciences de l'Environnement, 38000 Grenoble, France
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Mickaël Lalande, Martin Ménégoz, Gerhard Krinner, Catherine Ottlé, and Frédérique Cheruy
The Cryosphere, 17, 5095–5130, https://doi.org/10.5194/tc-17-5095-2023, https://doi.org/10.5194/tc-17-5095-2023, 2023
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This study investigates the impact of topography on snow cover parameterizations using models and observations. Parameterizations without topography-based considerations overestimate snow cover. Incorporating topography reduces snow overestimation by 5–10 % in mountains, in turn reducing cold biases. However, some biases remain, requiring further calibration and more data. Assessing snow cover parameterizations is challenging due to limited and uncertain data in mountainous regions.
Sara Arioli, Ghislain Picard, Laurent Arnaud, and Vincent Favier
The Cryosphere, 17, 2323–2342, https://doi.org/10.5194/tc-17-2323-2023, https://doi.org/10.5194/tc-17-2323-2023, 2023
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Francisco José Cuesta-Valero, Hugo Beltrami, Almudena García-García, Gerhard Krinner, Moritz Langer, Andrew H. MacDougall, Jan Nitzbon, Jian Peng, Karina von Schuckmann, Sonia I. Seneviratne, Wim Thiery, Inne Vanderkelen, and Tonghua Wu
Earth Syst. Dynam., 14, 609–627, https://doi.org/10.5194/esd-14-609-2023, https://doi.org/10.5194/esd-14-609-2023, 2023
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Earth Syst. Sci. Data, 15, 1597–1616, https://doi.org/10.5194/essd-15-1597-2023, https://doi.org/10.5194/essd-15-1597-2023, 2023
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Karina von Schuckmann, Audrey Minière, Flora Gues, Francisco José Cuesta-Valero, Gottfried Kirchengast, Susheel Adusumilli, Fiammetta Straneo, Michaël Ablain, Richard P. Allan, Paul M. Barker, Hugo Beltrami, Alejandro Blazquez, Tim Boyer, Lijing Cheng, John Church, Damien Desbruyeres, Han Dolman, Catia M. Domingues, Almudena García-García, Donata Giglio, John E. Gilson, Maximilian Gorfer, Leopold Haimberger, Maria Z. Hakuba, Stefan Hendricks, Shigeki Hosoda, Gregory C. Johnson, Rachel Killick, Brian King, Nicolas Kolodziejczyk, Anton Korosov, Gerhard Krinner, Mikael Kuusela, Felix W. Landerer, Moritz Langer, Thomas Lavergne, Isobel Lawrence, Yuehua Li, John Lyman, Florence Marti, Ben Marzeion, Michael Mayer, Andrew H. MacDougall, Trevor McDougall, Didier Paolo Monselesan, Jan Nitzbon, Inès Otosaka, Jian Peng, Sarah Purkey, Dean Roemmich, Kanako Sato, Katsunari Sato, Abhishek Savita, Axel Schweiger, Andrew Shepherd, Sonia I. Seneviratne, Leon Simons, Donald A. Slater, Thomas Slater, Andrea K. Steiner, Toshio Suga, Tanguy Szekely, Wim Thiery, Mary-Louise Timmermans, Inne Vanderkelen, Susan E. Wjiffels, Tonghua Wu, and Michael Zemp
Earth Syst. Sci. Data, 15, 1675–1709, https://doi.org/10.5194/essd-15-1675-2023, https://doi.org/10.5194/essd-15-1675-2023, 2023
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Christoph Kittel, Charles Amory, Stefan Hofer, Cécile Agosta, Nicolas C. Jourdain, Ella Gilbert, Louis Le Toumelin, Étienne Vignon, Hubert Gallée, and Xavier Fettweis
The Cryosphere, 16, 2655–2669, https://doi.org/10.5194/tc-16-2655-2022, https://doi.org/10.5194/tc-16-2655-2022, 2022
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Model projections suggest large differences in future Antarctic surface melting even for similar greenhouse gas scenarios and warming rates. We show that clouds containing a larger amount of liquid water lead to stronger melt. As surface melt can trigger the collapse of the ice shelves (the safety band of the Antarctic Ice Sheet), clouds could be a major source of uncertainties in projections of sea level rise.
Sara Bacer, Fatima Jomaa, Julien Beaumet, Hubert Gallée, Enzo Le Bouëdec, Martin Ménégoz, and Chantal Staquet
Weather Clim. Dynam., 3, 377–389, https://doi.org/10.5194/wcd-3-377-2022, https://doi.org/10.5194/wcd-3-377-2022, 2022
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We study the impact of climate change on wintertime atmospheric blocking over Europe. We focus on the frequency, duration, and size of blocking events. The blocking events are identified via the weather type decomposition methodology. We find that blocking frequency, duration, and size are mostly stationary over the 21st century. Additionally, we compare the blocking size results with the size of the blocking events identified via a different approach using a blocking index.
Mickaël Lalande, Martin Ménégoz, Gerhard Krinner, Kathrin Naegeli, and Stefan Wunderle
Earth Syst. Dynam., 12, 1061–1098, https://doi.org/10.5194/esd-12-1061-2021, https://doi.org/10.5194/esd-12-1061-2021, 2021
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Climate change over High Mountain Asia is investigated with CMIP6 climate models. A general cold bias is found in this area, often related to a snow cover overestimation in the models. Ensemble experiments generally encompass the past observed trends, suggesting that even biased models can reproduce the trends. Depending on the future scenario, a warming from 1.9 to 6.5 °C, associated with a snow cover decrease and precipitation increase, is expected at the end of the 21st century.
Camilla K. Crockart, Tessa R. Vance, Alexander D. Fraser, Nerilie J. Abram, Alison S. Criscitiello, Mark A. J. Curran, Vincent Favier, Ailie J. E. Gallant, Christoph Kittel, Helle A. Kjær, Andrew R. Klekociuk, Lenneke M. Jong, Andrew D. Moy, Christopher T. Plummer, Paul T. Vallelonga, Jonathan Wille, and Lingwei Zhang
Clim. Past, 17, 1795–1818, https://doi.org/10.5194/cp-17-1795-2021, https://doi.org/10.5194/cp-17-1795-2021, 2021
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We present preliminary analyses of the annual sea salt concentrations and snowfall accumulation in a new East Antarctic ice core, Mount Brown South. We compare this record with an updated Law Dome (Dome Summit South site) ice core record over the period 1975–2016. The Mount Brown South record preserves a stronger and inverse signal for the El Niño–Southern Oscillation (in austral winter and spring) compared to the Law Dome record (in summer).
Ruth Mottram, Nicolaj Hansen, Christoph Kittel, J. Melchior van Wessem, Cécile Agosta, Charles Amory, Fredrik Boberg, Willem Jan van de Berg, Xavier Fettweis, Alexandra Gossart, Nicole P. M. van Lipzig, Erik van Meijgaard, Andrew Orr, Tony Phillips, Stuart Webster, Sebastian B. Simonsen, and Niels Souverijns
The Cryosphere, 15, 3751–3784, https://doi.org/10.5194/tc-15-3751-2021, https://doi.org/10.5194/tc-15-3751-2021, 2021
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We compare the calculated surface mass budget (SMB) of Antarctica in five different regional climate models. On average ~ 2000 Gt of snow accumulates annually, but different models vary by ~ 10 %, a difference equivalent to ± 0.5 mm of global sea level rise. All models reproduce observed weather, but there are large differences in regional patterns of snowfall, especially in areas with very few observations, giving greater uncertainty in Antarctic mass budget than previously identified.
Louis Le Toumelin, Charles Amory, Vincent Favier, Christoph Kittel, Stefan Hofer, Xavier Fettweis, Hubert Gallée, and Vinay Kayetha
The Cryosphere, 15, 3595–3614, https://doi.org/10.5194/tc-15-3595-2021, https://doi.org/10.5194/tc-15-3595-2021, 2021
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Charles Amory, Christoph Kittel, Louis Le Toumelin, Cécile Agosta, Alison Delhasse, Vincent Favier, and Xavier Fettweis
Geosci. Model Dev., 14, 3487–3510, https://doi.org/10.5194/gmd-14-3487-2021, https://doi.org/10.5194/gmd-14-3487-2021, 2021
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This paper presents recent developments in the drifting-snow scheme of the regional climate model MAR and its application to simulate drifting snow and the surface mass balance of Adélie Land in East Antarctica. The model is extensively described and evaluated against a multi-year drifting-snow dataset and surface mass balance estimates available in the area. The model sensitivity to input parameters and improvements over a previously published version are also assessed.
Christoph Kittel, Charles Amory, Cécile Agosta, Nicolas C. Jourdain, Stefan Hofer, Alison Delhasse, Sébastien Doutreloup, Pierre-Vincent Huot, Charlotte Lang, Thierry Fichefet, and Xavier Fettweis
The Cryosphere, 15, 1215–1236, https://doi.org/10.5194/tc-15-1215-2021, https://doi.org/10.5194/tc-15-1215-2021, 2021
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The future surface mass balance (SMB) of the Antarctic ice sheet (AIS) will influence the ice dynamics and the contribution of the ice sheet to the sea level rise. We investigate the AIS sensitivity to different warmings using physical and statistical downscaling of CMIP5 and CMIP6 models. Our results highlight a contrasting effect between the grounded ice sheet (where the SMB is projected to increase) and ice shelves (where the future SMB depends on the emission scenario).
Marion Donat-Magnin, Nicolas C. Jourdain, Christoph Kittel, Cécile Agosta, Charles Amory, Hubert Gallée, Gerhard Krinner, and Mondher Chekki
The Cryosphere, 15, 571–593, https://doi.org/10.5194/tc-15-571-2021, https://doi.org/10.5194/tc-15-571-2021, 2021
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We simulate the West Antarctic climate in 2100 under increasing greenhouse gases. Future accumulation over the ice sheet increases, which reduces sea level changing rate. Surface ice-shelf melt rates increase until 2100. Some ice shelves experience a lot of liquid water at their surface, which indicates potential ice-shelf collapse. In contrast, no liquid water is found over other ice shelves due to huge amounts of snowfall that bury liquid water, favouring refreezing and ice-shelf stability.
Richard Essery, Hyungjun Kim, Libo Wang, Paul Bartlett, Aaron Boone, Claire Brutel-Vuilmet, Eleanor Burke, Matthias Cuntz, Bertrand Decharme, Emanuel Dutra, Xing Fang, Yeugeniy Gusev, Stefan Hagemann, Vanessa Haverd, Anna Kontu, Gerhard Krinner, Matthieu Lafaysse, Yves Lejeune, Thomas Marke, Danny Marks, Christoph Marty, Cecile B. Menard, Olga Nasonova, Tomoko Nitta, John Pomeroy, Gerd Schädler, Vladimir Semenov, Tatiana Smirnova, Sean Swenson, Dmitry Turkov, Nander Wever, and Hua Yuan
The Cryosphere, 14, 4687–4698, https://doi.org/10.5194/tc-14-4687-2020, https://doi.org/10.5194/tc-14-4687-2020, 2020
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Climate models are uncertain in predicting how warming changes snow cover. This paper compares 22 snow models with the same meteorological inputs. Predicted trends agree with observations at four snow research sites: winter snow cover does not start later, but snow now melts earlier in spring than in the 1980s at two of the sites. Cold regions where snow can last until late summer are predicted to be particularly sensitive to warming because the snow then melts faster at warmer times of year.
Martin Ménégoz, Evgenia Valla, Nicolas C. Jourdain, Juliette Blanchet, Julien Beaumet, Bruno Wilhelm, Hubert Gallée, Xavier Fettweis, Samuel Morin, and Sandrine Anquetin
Hydrol. Earth Syst. Sci., 24, 5355–5377, https://doi.org/10.5194/hess-24-5355-2020, https://doi.org/10.5194/hess-24-5355-2020, 2020
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The study investigates precipitation changes in the Alps, using observations and a 7 km resolution climate simulation over 1900–2010. An increase in mean precipitation is found in winter over the Alps, whereas a drying occurred in summer in the surrounding plains. A general increase in the daily annual maximum of precipitation is evidenced (20 to 40 % per century), suggesting an increase in extreme events that is significant only when considering long time series, typically 50 to 80 years.
Heiko Goelzer, Sophie Nowicki, Anthony Payne, Eric Larour, Helene Seroussi, William H. Lipscomb, Jonathan Gregory, Ayako Abe-Ouchi, Andrew Shepherd, Erika Simon, Cécile Agosta, Patrick Alexander, Andy Aschwanden, Alice Barthel, Reinhard Calov, Christopher Chambers, Youngmin Choi, Joshua Cuzzone, Christophe Dumas, Tamsin Edwards, Denis Felikson, Xavier Fettweis, Nicholas R. Golledge, Ralf Greve, Angelika Humbert, Philippe Huybrechts, Sebastien Le clec'h, Victoria Lee, Gunter Leguy, Chris Little, Daniel P. Lowry, Mathieu Morlighem, Isabel Nias, Aurelien Quiquet, Martin Rückamp, Nicole-Jeanne Schlegel, Donald A. Slater, Robin S. Smith, Fiamma Straneo, Lev Tarasov, Roderik van de Wal, and Michiel van den Broeke
The Cryosphere, 14, 3071–3096, https://doi.org/10.5194/tc-14-3071-2020, https://doi.org/10.5194/tc-14-3071-2020, 2020
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In this paper we use a large ensemble of Greenland ice sheet models forced by six different global climate models to project ice sheet changes and sea-level rise contributions over the 21st century.
The results for two different greenhouse gas concentration scenarios indicate that the Greenland ice sheet will continue to lose mass until 2100, with contributions to sea-level rise of 90 ± 50 mm and 32 ± 17 mm for the high (RCP8.5) and low (RCP2.6) scenario, respectively.
Hélène Seroussi, Sophie Nowicki, Antony J. Payne, Heiko Goelzer, William H. Lipscomb, Ayako Abe-Ouchi, Cécile Agosta, Torsten Albrecht, Xylar Asay-Davis, Alice Barthel, Reinhard Calov, Richard Cullather, Christophe Dumas, Benjamin K. Galton-Fenzi, Rupert Gladstone, Nicholas R. Golledge, Jonathan M. Gregory, Ralf Greve, Tore Hattermann, Matthew J. Hoffman, Angelika Humbert, Philippe Huybrechts, Nicolas C. Jourdain, Thomas Kleiner, Eric Larour, Gunter R. Leguy, Daniel P. Lowry, Chistopher M. Little, Mathieu Morlighem, Frank Pattyn, Tyler Pelle, Stephen F. Price, Aurélien Quiquet, Ronja Reese, Nicole-Jeanne Schlegel, Andrew Shepherd, Erika Simon, Robin S. Smith, Fiammetta Straneo, Sainan Sun, Luke D. Trusel, Jonas Van Breedam, Roderik S. W. van de Wal, Ricarda Winkelmann, Chen Zhao, Tong Zhang, and Thomas Zwinger
The Cryosphere, 14, 3033–3070, https://doi.org/10.5194/tc-14-3033-2020, https://doi.org/10.5194/tc-14-3033-2020, 2020
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The Antarctic ice sheet has been losing mass over at least the past 3 decades in response to changes in atmospheric and oceanic conditions. This study presents an ensemble of model simulations of the Antarctic evolution over the 2015–2100 period based on various ice sheet models, climate forcings and emission scenarios. Results suggest that the West Antarctic ice sheet will continue losing a large amount of ice, while the East Antarctic ice sheet could experience increased snow accumulation.
Eleanor J. Burke, Yu Zhang, and Gerhard Krinner
The Cryosphere, 14, 3155–3174, https://doi.org/10.5194/tc-14-3155-2020, https://doi.org/10.5194/tc-14-3155-2020, 2020
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Permafrost will degrade under future climate change. This will have implications locally for the northern high-latitude regions and may well also amplify global climate change. There have been some recent improvements in the ability of earth system models to simulate the permafrost physical state, but further model developments are required. Models project the thawed volume of soil in the top 2 m of permafrost will increase by 10 %–40 % °C−1 of global mean surface air temperature increase.
Cited articles
Agosta, C., Favier, V., Krinner, G., Gallée, H., Fettweis, X., and Genthon,
C.: High-resolution modelling of the Antarctic surface mass balance,
application for the twentieth, twenty first and twenty second centuries,
Clima. Dynam., 41, 3247–3260, https://doi.org/10.1007/s00382-013-1903-9, 2013. a
Agosta, C., Amory, C., Kittel, C., Orsi, A., Favier, V., Gallée, H., van den Broeke, M. R., Lenaerts, J. T. M., van Wessem, J. M., van de Berg, W. J., and Fettweis, X.: Estimation of the Antarctic surface mass balance using the regional climate model MAR (1979–2015) and identification of dominant processes, The Cryosphere, 13, 281–296, https://doi.org/10.5194/tc-13-281-2019, 2019. a, b, c, d, e, f, g, h
Arblaster, J. M. and Meehl, G. A.: Contributions of External Forcings to
Southern Annular Mode Trends, J. Climate, 19, 2896–2905,
https://doi.org/10.1175/JCLI3774.1, 2006. a, b
Barnes, E. A. and Hartmann, D. L.: Detection of Rossby wave breaking and its
response to shifts of the midlatitude jet with climate change, J.
Geophys. Res.-Atmos., 117, D09117,
https://doi.org/10.1029/2012JD017469, 2012. a, b
Beaumet, J., Déqué, M., Krinner, G., Agosta, C., and Alias, A.: Effect of prescribed sea surface conditions on the modern and future Antarctic surface climate simulated by the ARPEGE atmosphere general circulation model, The Cryosphere, 13, 3023–3043, https://doi.org/10.5194/tc-13-3023-2019, 2019a. a, b, c, d, e, f, g, h, i, j
Beaumet, J., Krinner, G., Déqué, M., Haarsma, R., and Li, L.: Assessing bias corrections of oceanic surface conditions for atmospheric models, Geosci. Model Dev., 12, 321–342, https://doi.org/10.5194/gmd-12-321-2019, 2019b. a
Beaumet, J., Krinner, G., Déqué, M., and Alias, A.: CNRM-ARPEGE v6.2.4 contribution to Antarctic Cordex (Version version1), Zenodo [data set], https://doi.org/10.5281/zenodo.4059193, 2020. a
Boone, A. and Etchevers, P.: An Intercomparison of Three Snow Schemes of
Varying Complexity Coupled to the Same Land Surface Model: Local-Scale
Evaluation at an Alpine Site, J. Hydrometeorol., 2, 374–394,
https://doi.org/10.1175/1525-7541(2001)002<0374:AIOTSS>2.0.CO;2, 2001. a
Bracegirdle, T. J. and Marshall, G. J.: The Reliability of Antarctic
Tropospheric Pressure and Temperature in the Latest Global Reanalyses,
J. Climate, 25, 7138–7146, https://doi.org/10.1175/JCLI-D-11-00685.1, 2012. a
Bracegirdle, T. J., Shuckburgh, E., Sallee, J.-B., Wang, Z., Meijers, A. J. S.,
Bruneau, N., Phillips, T., and Wilcox, L. J.: Assessment of surface winds
over the Atlantic, Indian, and Pacific Ocean sectors of the Southern Ocean in
CMIP5 models: historical bias, forcing response, and state dependence,
J. Geophys. Res.-Atmos., 118, 547–562,
https://doi.org/10.1002/jgrd.50153, 2013. a, b, c, d
Bracegirdle, T. J., Stephenson, D. B., Turner, J., and Phillips, T.: The
importance of sea ice area biases in 21st century multimodel projections of
Antarctic temperature and precipitation, Geophys. Res. Lett., 42,
10832–10839, https://doi.org/10.1002/2015GL067055, 2015. a
Bracegirdle, T. J., Hyder, P., and Holmes, C. R.: CMIP5 Diversity in Southern
Westerly Jet Projections Related to Historical Sea Ice Area: Strong Link to
Strengthening and Weak Link to Shift, J. Climate, 31, 195–211,
https://doi.org/10.1175/JCLI-D-17-0320.1, 2018. a, b
Clem, K. R., Renwick, J. A., McGregor, J., and Fogt, R. L.: The relative
influence of ENSO and SAM on Antarctic Peninsula climate, J.
Geophys. Res.-Atmos., 121, 9324–9341, 2016. a
Collins, M., Booth, B. B., Harris, G. R., Murphy, J. M., Sexton, D. M., and
Webb, M. J.: Towards quantifying uncertainty in transient climate change,
Clim. Dynam., 27, 127–147, 2006. a
Déqué, M.: Frequency of precipitation and temperature extremes over
France in an anthropogenic scenario: Model results and statistical correction
according to observed values, Glob. Planet. Change, 57, 16–26,
https://doi.org/10.1016/j.gloplacha.2006.11.030, 2007. a
Déqué, M., Dreveton, C., Braun, A., and Cariolle, D.: The ARPEGE/IFS
atmosphere model: a contribution to the French community climate modelling,
Clim. Dynam., 10, 249–266, https://doi.org/10.1007/BF00208992, 1994. a, b
Dommenget, D. and Rezny, M.: A Caveat Note on Tuning in the Development of
Coupled Climate Models, J. Adv. Model. Earth Syst., 10,
78–97, https://doi.org/10.1002/2017MS000947, 2018. a, b
Dutra, E., Sandu, I., Balsamo, G., Beljaars, A., Freville, H., Vignon, E., and
Brun, E.: Understanding the ECMWF winter surface temperature biases over
Antarctica, European Centre for Medium-Range Weather Forecasts, available at: https://www.ecmwf.int/sites/default/files/elibrary/2015/15262-understanding-ecmwf-winter-surface-temperature-biases-over-antarctica.pdf (last access: 30 July 2021), 2015. a, b
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016. a
Favier, V., Agosta, C., Parouty, S., Durand, G., Delaygue, G., Gallée, H., Drouet, A.-S., Trouvilliez, A., and Krinner, G.: An updated and quality controlled surface mass balance dataset for Antarctica, The Cryosphere, 7, 583–597, https://doi.org/10.5194/tc-7-583-2013, 2013. a
Flato, G., Marotzke, J., Abiodun, B., Braconnot, P., Chou, S. C., Collins,
W. J., Cox, P., Driouech, F., Emori, S., Eyring, V., Forest, C., Gleckler, P., Guilyardi, E., Jakob, C., Kattsov, V., Reason, C., and Rummukainen, M.: Evaluation of
Climate Models, in: Climate Change 2013: The Physical Science Basis.
Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, Climate Change 2013, 5, 741–866,
2013. a, b
Fox-Rabinovitz, M., Côté, J., Dugas, B., Dèqué, M., and
McGregor, J. L.: Variable resolution general circulation models:
Stretched-grid model intercomparison project (SGMIP), J. Geophys.
Res.-Atmos., 111, D16104, https://doi.org/10.1029/2005JD006520, 2006. a
Fréville, H., Brun, E., Picard, G., Tatarinova, N., Arnaud, L., Lanconelli, C., Reijmer, C., and van den Broeke, M.: Using MODIS land surface temperatures and the Crocus snow model to understand the warm bias of ERA-Interim reanalyses at the surface in Antarctica, The Cryosphere, 8, 1361–1373, https://doi.org/10.5194/tc-8-1361-2014, 2014. a, b
Frieler, K., Clark, P. U., He, F., Buizert, C., Reese, R., Ligtenberg, S.
R. M., van den Broeke, M., Winkelmann, R., and Levermann, A.: Consistent
evidence of increasing Antarctic accumulation with warming, Nat. Clim.
Change, 5, 348–352, https://doi.org/10.1038/nclimate2574, 2015. a, b, c
Fürst, J. J., Durand, G., Gillet-Chaulet, F., Tavard, L., Rankl, M., Braun,
M., and Gagliardini, O.: The safety band of Antarctic ice shelves, Nature
Climate Change, 6, 479–482, https://doi.org/10.1038/nclimate2912, 2016. a
Fyfe, J. C. and Saenko, O. A.: Simulated changes in the extratropical Southern
Hemisphere winds and currents, Geophys. Res. Lett., 33, L06701,
https://doi.org/10.1029/2005GL025332, 2006. a, b
Gates, W. L.: AN AMS CONTINUING SERIES: GLOBAL CHANGE–AMIP: The Atmospheric
Model Intercomparison Project, Bull. Am. Meteorol.
Soc., 73, 1962–1970, 1992. a
Gibelin, A.-L. and Déqué, M.: Anthropogenic climate change over the
Mediterranean region simulated by a global variable resolution model, Clim.
Dynam., 20, 327–339, 2003. a
Gleckler, P. J., Taylor, K. E., and Doutriaux, C.: Performance metrics for
climate models, J. Geophys. Res.-Atmos., 113, D06104,
https://doi.org/10.1029/2007JD008972, 2008. a
Grazioli, J., Madeleine, J.-B., Gallée, H., Forbes, R. M., Genthon, C.,
Krinner, G., and Berne, A.: Katabatic winds diminish precipitation
contribution to the Antarctic ice mass balance, P. Natl.
Acad. Sci., 114, 10858–10863, https://doi.org/10.1073/pnas.1707633114,
2017. a
Jeuken, A., Siegmund, P., Heijboer, L., Feichter, J., and Bengtsson, L.: On the
potential of assimilating meteorological analyses in a global climate model
for the purpose of model validation, J. Geophys. Res.-Atmos., 101, 16939–16950, 1996. a
Jones, M. E., Bromwich, D. H., Nicolas, J. P., Carrasco, J., Plavcová, E.,
Zou, X., and Wang, S.-H.: Sixty Years of Widespread Warming in the Southern
Middle and High Latitudes (1957–2016), J. Climate, 32, 6875–6898, https://doi.org/10.1175/JCLI-D-18-0565.1, 2019. a
Kharin, V. and Scinocca, J.: The impact of model fidelity on seasonal
predictive skill, Geophys. Res. Lett., 39, L18803,
https://doi.org/10.1029/2012GL052815, 2012. a, b
King, M. A. and Watson, C. S.: Antarctic Surface Mass Balance: Natural
Variability, Noise, and Detecting New Trends, Geophys. Res. Lett.,
47, e2020GL087493, https://doi.org/10.1029/2020GL087493, 2020. a
Kohonen, T.: The self-organizing map, Proceedings of the IEEE, 78, 1464–1480,
1990. a
Kohonen, T.: Essentials of the self-organizing map, Neural Networks, 37,
52–65, 2013. a
Krinner, G. and Flanner, M. G.: Striking stationarity of large-scale climate
model bias patterns under strong climate change, P. Natl. Acad. Sci., 15,
9462–9466, https://doi.org/10.1073/pnas.1807912115, 2018. a, b
Krinner, G., Genthon, C., Li, Z.-X., and Le Van, P.: Studies of the Antarctic
climate with a stretched-grid general circulation model, J.
Geophys. Res.-Atmos., 102, 13731–13745,
https://doi.org/10.1029/96JD03356, 1997. a
Krinner, G., Guicherd, B., Ox, K., Genthon, C., and Magand, O.: Influence of
Oceanic Boundary Conditions in Simulations of Antarctic Climate and Surface
Mass Balance Change during the Coming Century, J. Climate, 21,
938–962, https://doi.org/10.1175/2007JCLI1690.1, 2008. a, b
Krinner, G., Rinke, A., Dethloff, K., and Gorodetskaya, I. V.: Impact of
prescribed Arctic sea ice thickness in simulations of the present and future
climate, Clim. Dynam., 35, 619–633, https://doi.org/10.1007/s00382-009-0587-7,
2010. a
Krinner, G., Beaumet, J., Favier, V., Déqué, M., and Brutel-Vuilmet,
C.: Empirical Run-Time Bias Correction for Antarctic Regional Climate
Projections With a Stretched-Grid AGCM, J. Adv. Model. Earth
Syst., 11, 64–82, https://doi.org/10.1029/2018MS001438, 2019. a, b, c, d
Krinner, G., Kharin, V., Roehrig, R., Scinocca, J., and Codron, F.:
Historically-based run-time bias corrections substantially improve model
projections of 100 years of future climate change, Commun. Earth
Environ., 1, 29, https://doi.org/10.1038/s43247-020-00035-0, 2020. a, b, c
Kwok, R. and Comiso, J. C.: Spatial patterns of variability in Antarctic
surface temperature: Connections to the Southern Hemisphere Annular Mode and
the Southern Oscillation, Geophys. Res. Lett., 29, 14,
https://doi.org/10.1029/2002GL015415, 2002. a
Lenaerts, J. T. M., Vizcaino, M., Fyke, J., van Kampenhout, L., and van den
Broeke, M. R.: Present-day and future Antarctic ice sheet climate and surface
mass balance in the Community Earth System Model, Clim. Dynam., 47,
1367–1381, https://doi.org/10.1007/s00382-015-2907-4, 2016. a, b
Li, G. and Xie, S.-P.: Origins of tropical-wide SST biases in CMIP multi-model
ensembles, Geophys. Res. Lett., 39, L22703, https://doi.org/10.1029/2012GL053777,
2012. a
Ligtenberg, S. R. M., van de Berg, W. J., van den Broeke, M. R., Rae, J. G. L.,
and van Meijgaard, E.: Future surface mass balance of the Antarctic ice sheet
and its influence on sea level change, simulated by a regional atmospheric
climate model, Clim. Dynam., 41, 867–884,
https://doi.org/10.1007/s00382-013-1749-1, 2013. a, b
Mahlstein, I., Gent, P. R., and Solomon, S.: Historical Antarctic mean sea ice
area, sea ice trends, and winds in CMIP5 simulations, J. Geophys.
Res.-Atmos., 118, 5105–5110, https://doi.org/10.1002/jgrd.50443, 2013. a
Manabe, S. and Stouffer, R.: Two stable equilibria of a coupled
ocean-atmosphere model, J. Climate, 1, 841–866, 1988. a
Maraun, D. and Widmann, M.: Statistical downscaling and bias correction for
climate research, Cambridge University Press, Cambridge, UK, https://doi.org/10.1017/9781107588783,
ISBN 978-1-107-06605-2,
2018. a, b
Maraun, D., Shepherd, T. G., Widmann, M., Zappa, G., Walton, D., Gutiérrez,
J. M., Hagemann, S., Richter, I., Soares, P. M., Hall, A., and Mearns, L. O.: Towards
process-informed bias correction of climate change simulations, Nat.
Clim.e Change, 7, 764–773,
https://doi.org/10.1038/nclimate3418, 2017. a, b, c
Marshall, G. J.: Half-century seasonal relationships between the Southern
Annular mode and Antarctic temperatures, Int. J.
Climatol., 27, 373–383, https://doi.org/10.1002/joc.1407, 2007. a
Marshall, G. J. and Thompson, D. W. J.: The signatures of large-scale patterns
of atmospheric variability in Antarctic surface temperatures, J.
Geophys. Res.-Atmos., 121, 3276–3289,
https://doi.org/10.1002/2015JD024665, 2016. a, b
Marshall, G. J., Thompson, D. W., and van den Broeke, M. R.: The signature of
Southern Hemisphere atmospheric circulation patterns in Antarctic
precipitation, Geophys. Res. Lett., 44, 580–589,
https://doi.org/10.1002/2017GL075998,
2017. a
McGregor, J. L.: Recent developments in variable-resolution global climate
modelling, Clim. Change, 129, 369–380, 2015. a
Medley, B. and Thomas, E.: Increased snowfall over the Antarctic Ice Sheet
mitigated twentieth-century sea-level rise, Nat. Clim.Change, 9, 34–39,
2019. a
Mélia, D. S.: A global coupled sea ice-ocean model, Ocean Model., 4, 137–172, https://doi.org/10.1016/S1463-5003(01)00015-4, 2002. a
Miller, R., Schmidt, G., and Shindell, D.: Forced annular variations in the
20th century intergovernmental panel on climate change fourth assessment
report models, J. Geophys. Res.-Atmos., 111, D18101,
https://doi.org/10.1029/2005JD006323, 2006. a, b
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K.,
Van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., Meehl, G. A., Mitchell, J. F. B., Nakicenovic, N., Riahi, K., Smith, S. J., Stouffer, R. J., Thomson, A. M., Weyant, J. P., and Wilbanks, T. J.:
The next generation of scenarios for climate change research and assessment,
Nature, 463, 747–756,
https://doi.org/10.1038/nature08823, 2010. a
Noilhan, J. and Mahfouf, J.-F.: The ISBA land surface parameterisation scheme,
Glob. Planet. Change, 13, 145–159,
https://doi.org/10.1016/0921-8181(95)00043-7,
1996. a
Palerme, C., Genthon, C., Claud, C., Kay, J. E., Wood, N. B., and L'Ecuyer, T.:
Evaluation of current and projected Antarctic precipitation in CMIP5 models,
Clim. Dynam., 48, 225–239, https://doi.org/10.1007/s00382-016-3071-1, 2017. a, b, c, d
Pollard, D., DeConto, R. M., and Alley, R. B.: Potential Antarctic Ice Sheet
retreat driven by hydrofracturing and ice cliff failure, Earth Planet.
Sci. Lett., 412, 112–121,
https://doi.org/10.1016/j.epsl.2014.12.035, 2015. a
Pritchard, H., Ligtenberg, S., Fricker, H., Vaughan, D., Van den Broeke, M.,
and Padman, L.: Antarctic ice-sheet loss driven by basal melting of ice
shelves, Nature, 484, 502–505,
https://doi.org/10.1038/nature10968, 2012. a, b
Reusch, D. B., Alley, R. B., and Hewitson, B. C.: North Atlantic climate
variability from a self-organizing map perspective, J. Geophys.
Res.-Atmos., 112, D02104, https://doi.org/10.1029/2006JD007460, 2007. a
Rignot, E., Jacobs, S., Mouginot, J., and Scheuchl, B.: Ice-shelf melting
around Antarctica, Science, 341, 266–270, 2013. a
Ritz, C., Tamsin, E. L., Durand, G., Payne, A. J., Peyaud, V., and Hindmarsh,
R. C. A.: Potential sea-level rise from Antarctic ice-sheet instability
constrained by observations, Nature, 528, 115,
https://doi.org/10.1038/nature16147, 2015. a
Schneider, E. K.: Flux correction and the simulation of changing climate, Ann. Geophys., 14, 336–341, https://doi.org/10.1007/s00585-996-0336-8, 1996. a
Scott, R. C., Nicolas, J. P., Bromwich, D. H., Norris, J. R., and Lubin, D.:
Meteorological drivers and large-scale climate forcing of West Antarctic
surface melt, J. Climate, 32, 665–684, 2019. a
Scott Yiu, Y. Y. and Maycock, A. C.: On the seasonality of the El Niño
teleconnection to the Amundsen Sea region, J. Climate, 32,
4829–4845, 2019. a
Sheridan, S. and Lee, C.: The self-organizing map in synoptic climatological
research, Prog. Phys. Geogr., 35, 109–119, 2011. a
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and the
experiment design, B. Am. Meteorol. Soc., 93,
485–498, 2012. a
Thomas, E. R., van Wessem, J. M., Roberts, J., Isaksson, E., Schlosser, E., Fudge, T. J., Vallelonga, P., Medley, B., Lenaerts, J., Bertler, N., van den Broeke, M. R., Dixon, D. A., Frezzotti, M., Stenni, B., Curran, M., and Ekaykin, A. A.: Regional Antarctic snow accumulation over the past 1000 years, Clim. Past, 13, 1491–1513, https://doi.org/10.5194/cp-13-1491-2017, 2017. a
Turner, J., Colwell, S. R., Marshall, G. J., Lachlan-Cope, T. A., Carleton,
A. M., Jones, P. D., Lagun, V., Reid, P. A., and Iagovkina, S.: The SCAR
READER Project: Toward a High-Quality Database of Mean Antarctic
Meteorological Observations, J. Climate, 17, 2890–2898,
https://doi.org/10.1175/1520-0442(2004)017<2890:TSRPTA>2.0.CO;2, 2004. a
Turner, J., Bracegirdle, T. J., Phillips, T., Marshall, G. J., and Hosking,
J. S.: An Initial Assessment of Antarctic Sea Ice Extent in the CMIP5 Models,
J. Climate, 26, 1473–1484, https://doi.org/10.1175/JCLI-D-12-00068.1, 2013.
a, b
Van Meijgaard, E., Van Ulft, L., Van de Berg, W., Bosveld, F., Van den Hurk,
B., Lenderink, G., and Siebesma, A.: The KNMI regional atmospheric climate
model RACMO version 2.1, Koninklijk Nederlands Meteorologisch Instituut, 43,
2008. a
van Wessem, J. M., Reijmer, C. H., Lenaerts, J. T. M., van de Berg, W. J., van den Broeke, M. R., and van Meijgaard, E.: Updated cloud physics in a regional atmospheric climate model improves the modelled surface energy balance of Antarctica, The Cryosphere, 8, 125–135, https://doi.org/10.5194/tc-8-125-2014, 2014. a, b
van Wessem, J. M., van de Berg, W. J., Noël, B. P. Y., van Meijgaard, E., Amory, C., Birnbaum, G., Jakobs, C. L., Krüger, K., Lenaerts, J. T. M., Lhermitte, S., Ligtenberg, S. R. M., Medley, B., Reijmer, C. H., van Tricht, K., Trusel, L. D., van Ulft, L. H., Wouters, B., Wuite, J., and van den Broeke, M. R.: Modelling the climate and surface mass balance of polar ice sheets using RACMO2 – Part 2: Antarctica (1979–2016), The Cryosphere, 12, 1479–1498, https://doi.org/10.5194/tc-12-1479-2018, 2018. a, b, c, d, e, f, g
Vaughan, D. G., Bamber, J. L., Giovinetto, M., Russell, J., and Cooper, A.
P. R.: Reassessment of Net Surface Mass Balance in Antarctica, J.
Climate, 12, 933–946, https://doi.org/10.1175/1520-0442(1999)012<0933:RONSMB>2.0.CO;2,
1999. a
Velicogna, I.: Increasing rates of ice mass loss from the Greenland and
Antarctic ice sheets revealed by GRACE, Geophys. Res. Lett., 36, L19503,
https://doi.org/10.1029/2009GL040222,
2009. a, b
Verfaillie, D., Favier, V., Gallée, H., Fettweis, X., Agosta, C., and
Jomelli, V.: Regional modeling of surface mass balance on the Cook Ice Cap,
Kerguelen Islands (49∘ N, 69∘ E, Clim. Dynam., 53,
5909–5925, 2019. a
Walden, V. P., Warren, S. G., and Tuttle, E.: Atmospheric ice crystals over the
Antarctic Plateau in winter, J. Appl. Meteorol., 42, 1391–1405,
2003. a
Short summary
We use empirical run-time bias correction (also called flux correction) to correct the systematic errors of the ARPEGE atmospheric climate model. When applying the method to future climate projections, we found a lesser poleward shift and an intensification of the maximum of westerly winds present in the southern high latitudes. This yields a significant additional warming of +0.6 to +0.9 K of the Antarctic Ice Sheet with respect to non-corrected control projections using the RCP8.5 scenario.
We use empirical run-time bias correction (also called flux correction) to correct the...
